Platform baseline
Magento begins with more services and memory. WooCommerce, Laravel and OpenCart use platform-specific starting profiles.
Turn store workload into a practical infrastructure baseline. Adjust the inputs and compare CPU, memory, storage, runtime and data-layer requirements instantly.
The calculator selects a platform baseline, measures the strongest workload drivers, then adds the growth reserve you requested.
Magento begins with more services and memory. WooCommerce, Laravel and OpenCart use platform-specific starting profiles.
Catalog, visits, orders, concurrency, extensions and campaign intensity are weighted without pretending one metric explains the whole store.
Language, market coverage and growth headroom can move the recommendation into a safer deployment tier.
These are starting envelopes for production planning, not vendor minimum requirements.
| Platform | Entry CPU / RAM | Cache | Search | Scale-out trigger |
|---|---|---|---|---|
| Magento | 4 vCPU / 8 GB | Redis recommended | OpenSearch required | Catalog indexing + checkout concurrency |
| WooCommerce | 2 vCPU / 4 GB | Object cache by growth tier | Optional | Plugins + uncached shoppers |
| Laravel | 2 vCPU / 4 GB | Redis recommended | Workload dependent | Queues + API concurrency |
| OpenCart | 2 vCPU / 4 GB | Recommended at growth | Optional | Extensions + catalog filters |
Use the estimate to shortlist infrastructure, then validate it with application load testing.
The calculator combines platform baseline requirements with catalog size, monthly visits, daily orders, peak concurrent shoppers, extension complexity, campaign intensity, storefront language, sales region and requested growth headroom. These inputs produce a workload index that maps to a practical CPU, RAM and NVMe capacity tier. The result is a planning baseline, not a guarantee, and should be validated with staging load tests before production.
Magento typically runs more application services than a lightweight store, including PHP workers, database processes, Redis and OpenSearch. Large catalogs, layered navigation, indexing jobs, checkout activity and multiple storefronts increase CPU and memory pressure. The calculator therefore starts Magento at a higher baseline and recommends separating the database, cache or search services earlier as workload complexity grows.
No. This calculator estimates infrastructure capacity from workload assumptions. It does not run Magento, WooCommerce, Laravel or OpenCart code and does not measure page generation, checkout throughput or Core Web Vitals. Use the separate Saudi Hosting Benchmark for measured network latency and HTTP response data, then run application load tests on a staging environment before choosing final production capacity.
A stable store with predictable demand can start with 20–25 percent headroom. Stores that depend on paid campaigns, seasonal promotions or Ramadan traffic should consider 35–50 percent. Headroom protects checkout and administration tasks when traffic rises, but excessive unused capacity increases cost. The calculator includes headroom in the workload tier so you can compare a balanced plan with a more conservative deployment.
Small stores can often share one well-sized server, especially during validation. As orders, concurrent shoppers and catalog operations grow, separating the database reduces resource contention and improves maintenance flexibility. High-traffic Magento and custom Laravel deployments may also benefit from dedicated Redis and search services. The calculator recommends an architecture stage, but availability requirements and load-test evidence should determine the final topology.